TRAVEL TIME DATA COLLECTION AND SPATIAL INFORMATION TECHNOLOGIES FOR RELIABLE TRANSPORTATION SYSTEMS PLANNING

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "TRAVEL TIME DATA COLLECTION AND SPATIAL INFORMATION TECHNOLOGIES FOR RELIABLE TRANSPORTATION SYSTEMS PLANNING"

Transcription

1 TRAVEL TIME DATA COLLECTION AND SPATIAL INFORMATION TECHNOLOGIES FOR RELIABLE TRANSPORTATION SYSTEMS PLANNING Srinivas S. Pulugurtha, Ph.D., P.E. Venkata R. Duddu, Ph.D., E.I. The University of North Carolina at Charlotte (UNC Charlotte) TRB Sensing Technologies for Transportation Applications Workshop #148 January 12, 2014

2 Research Team Dr. Edd Hauser - Director, Ctr. for Transp. Policy Studies Dr. Xiaoyu Wang - Research Assistant Prof., Charlotte Vis. Ctr. Graduate Students Rahul Pinnamaneni R. M. Zahid Reza Sai Venkata Nallamalli Vinay Thokala Vishnu Payyavula Md. Shah Imran Ravi Kiran Puvvala Pooya Najaf

3 Key Research Tasks Compare and evaluate travel time data from different technologies / non-connected devices Develop data tools and query applications Assess transportation systems reliability Compute reliability measures Link- or corridor-level? Evaluate correlation between different reliability measures Identify thresholds and level-of-service (LOS) categories Model the effect of incidents on reliability Develop DSS tools using visualization techniques

4 Comparative Evaluation of Travel Time from Different Technologies and Sources

5 Travel Time Data Collection & Technologies / Sources Study area: Charlotte, North Carolina Technologies / sources: Manual & GPS Bluetooth devices Private sources such as INRIX Automatic Vehicle Location (AVL) units on buses

6 Data Collection Manual, GPS & Bluetooth data collection 6 corridors Peak and off-peak hours on two consecutive weekdays for each corridor Study Corridors for Data Collection Route Number Route Name Type No. of Lanes AADT Bus Availability Weekdays Weekends Speed Limit (mph) 11 North Tryon Major Arterial 3 25,000-30,000 Yes Yes South Blvd Arterial 2 20,000-25,000 Yes Yes Providence Road Arterial 2 30,000-40,000 Yes Yes Sharon Road Local 2 14,000-20,000 Yes No Graham Street Rd Arterial 2 14,000-20,000 Yes Yes 45 I-85 Interstate 85 Freeway 4 30,000-60,000 No No 70

7 Data Collection (Cont.) Run 1 - End Point Time: 07:15 AM Run 1- Start Point Time: 06:55 AM

8 Study Corridors for Manual, GPS & Bluetooth Data Collection

9 Manual data Preparing travel time worksheet Data Processing Recording elapsed time data between signalized intersections and busstop locations Recording delay at signals GPS data GPS device installed in a test vehicle Travel time data from GPS was directly recorded into a Laptop PC-Travel Software was used to process the GPS data Bluetooth data Collection of raw data from USB flash drives connected to the devices Data filtering techniques were applied based on minimum and maximum travel speeds Travel time based on minimum and maximum possible speeds

10 Comparison of Travel Time by Travel Run during Off-peak (Mid-Day) and Peak (Evening) Periods along South Blvd (Top) & I-85 (Bottom) ID Manual (Sec) GPS (%) INRIX (%) Bluetooth (%) Manual (Sec) GPS (%) INRIX (%) Bluetooth (%) Manual (Sec) GPS (%) INRIX (%) Bluetooth (%) 5/29/201 3 Run 1 (Time) 11:15 AM Run 2 (Time) 11:49 AM Run 3 (Time) 12:17 PM /29/201 3 Run 1 (Time) 4:46:50 PM Run 2 (Time) 5:28:00 PM Run 3 (Time) 6:20:10 PM ID Manual (Sec) GPS (%) INRIX (%) Bluetooth (%) Manual (Sec) GPS (%) INRIX (%) Bluetooth (%) Manual (Sec) GPS (%) INRIX (%) Bluetooth (%) 6/25/201 3 Run 1 (Time) 11:03:27 AM Run 2 (Time) 11:27:57 AM Run 3 (Time) 11:51:30 AM /25/201 3 Run 1 (Time) 4:07:20 PM Run 2 (Time) 4:32:50 PM Run 3 (Time) 5:13:08 PM

11 Sample Size by Time-of-the-day

12 Effect of Sample Size and Link-length / Spacing on Data Quality Timeof-theday Mid- Day PM South Blvd Inbound Direction Link1 (1.3 miles) Link 2 (1.3 miles) Link 3 (1.9 miles) Link 4 (0.8 miles) Run Sample Percent Sample Percent Sample Percent Sample Percent Size Error Size Error Size Error Size Error

13 Relation between Bluetooth Detector Spacing and % Difference Pearson correlation between spacing and % difference is

14 Percentage Difference in Travel Time for Different Segments

15 Percentage Difference in Travel Time by Data Collection Period for All the Runs on Selected Arterial Streets

16 Comparison of Technologies Key Findings Ability (sample size) to detect differs for freeways and arterial streets More noise / disturbances lowering detection rate Detection rate varies by time-of-the-day f(traffic volume)? Weather & environmental conditions? Travel time data from both Bluetooth detectors and INRIX are reasonably close to manually captured travel time data along the freeway segment than when compared to arterials segments For arterial streets, travel times from INRIX are more promising when compared to the travel times from the Bluetooth detectors Role of network characteristics?

17 Assessing Transportation System Reliability

18 Data Collection (Cont.) Inrix data Over 200 routes Data downloaded for years 2008 to 2012

19 Data Processing & Performance Measures AVL & Inrix data Data processing and mining - performed using Microsoft SQL Server Data tools & query applications were developed to compute: Minimum Average Maximum Median 85 th Percentile 95 th Percentile (Planning Time PT) Factors considered Time-of-day & day-of-week For each run Computation of reliability measures

20 Measures of Reliability Index Equation Index Equation NCHRP Definition SD of travel time λ Skew AASHTO Definition and TranSystems Definition Probability on-time performance Buffer Time (BT) Variability TT 85 -TT 15 Buffer Time Index (BTI) First worst travel times over a month Second worst travel times over a month Planning Time (PT) Planning Time Index (PTI) Travel Time Variability (TTV) Variability TT 80 -TT 20 Variability TT 70 -TT 30 Acceptable Travel Time Variation Index Desired Travel Time Reduction Index Travel Time Index (TTI) Frequency of Congestion P(T avg +ATTV) P(Tave-DTTR) Percent of days/periods that are congested

21 Link-level Travel Time and Reliability Measures North Tryon St Corridor during Weekdays Off-peak Hours (10:00 PM - 11:00 PM) Peak Hours (8:00 AM - 9:00 AM) Link Travel Time (Minutes) Travel Time Percentile BTI BTI Travel Time (Minutes) Travel Time Percentile BTI Min Max Avg (85) (95) Min Max Avg (85) BTI (95)

22 Reliability During Weekday Peak (Left) & Off-peak (Right) Hours 27

23 Reliability During Weekend Peak (Left) & Off-peak (Right) Hours 28

24 Correlation Matrix For Travel Times and Reliability Indices For Weekday (All Day)

25 Correlation Matrix For Travel Times and Reliability Indices For Weekday (All Day) (Cont.)

26 Role of Reliability Measures Performance Measure Role Reports a nominal level of congestion as opposed to providing any Avg. Travel Time (TT) information on the variation of travel rates. Helps in evaluating unique reliability measures through correlation. TT -10 th Percentile Evaluate variance in travel times TT - 15 th Percentile Evaluate variance in Travel Times TT - 50 th Percentile Evaluate Skewness TT - 85 th Percentile These are upper percentiles of travel time distributions and can be TT - 90 th Percentile used as performance indicators. Can be used for before-and-after TT - 95 th Percentile (PT) studies for comparison. TTV - 90 (TT90-TT10) These measures indicate variability in travel times or TTV - 85 (TT85-TT15) TTV - 95 (TT95-TT15) BT BTI PTI λ Skew λ Var TTI unpredictability of travel times from the users viewpoint. Can be used for before-and-after studies for comparison. BTI and PTI help track reliability over time and evaluate the condition of the facility. All these measures can be used for ranking and prioritization by agencies. These measures can also be used to compare the performance of one segment with another. * Performance measures in the bold are not correlated with the average travel times

27 Assessing Reliability Key Findings Identification of specific locations for improvements will be difficult if corridor-level reliability measures are computed and used instead of link-level reliability measures Using corridor-level measures for prioritization and ranking may also lead to unnecessary and additional expenditures Use of 85 th or 95 th percentile travel times to compute reliability and assess performance should depend on user s acceptance levels in the region Percent of links or lane miles with poor reliability scores by time-of-the-day could be used for assessment of transportation network performance (area-level)

28 Temporal Variation in Travel Time over Space - Crash Scenario 33

29 34

30 Acknowledgements This presentation is based on information collected and research performed for a research project funded by the United States Department of Transportation Research and Innovative Technology Administration (USDOT/RITA) under Cooperative Agreement Number RITARS-12-H-UNCC. USDOT/RITA Program Manager: Mr. Caesar Singh

31 Disclaimer Views, opinions, findings, and conclusions reflected in this presentation are the responsibility of the authors only and do not represent the official policy or position of the USDOT/RITA, or any State, or the University of North Carolina at Charlotte or other entity. The authors are responsible for the facts and the accuracy of the data presented herein. This presentation does not constitute a standard, specification, or regulation.

FINAL REPORT DEVELOPMENT OF CONGESTION PERFORMANCE MEASURES USING ITS INFORMATION. Sarah B. Medley Graduate Research Assistant

FINAL REPORT DEVELOPMENT OF CONGESTION PERFORMANCE MEASURES USING ITS INFORMATION. Sarah B. Medley Graduate Research Assistant FINAL REPORT DEVELOPMENT OF CONGESTION PERFORMANCE MEASURES USING ITS INFORMATION Sarah B. Medley Graduate Research Assistant Michael J. Demetsky, Ph.D., P.E. Faculty Research Scientist and Professor of

More information

Comparing Arterial Speeds from Big-Data Sources in Southeast Florida (Bluetooth, HERE and INRIX)

Comparing Arterial Speeds from Big-Data Sources in Southeast Florida (Bluetooth, HERE and INRIX) Comparing Arterial Speeds from Big-Data Sources in Southeast Florida (Bluetooth, HERE and INRIX) Sujith Rapolu Ashutosh Kumar TRB National Transportation Planning Applications Conference (Atlantic City,

More information

Dallas ICM Conception to Implementation

Dallas ICM Conception to Implementation Dallas ICM Conception to Implementation Transit ITS Best Practices Workshop November 13-14, 2013 Agenda Background Conception Procurement -Deployment Q&A Background-DFW Region 5 th most congested region

More information

CHALLENGES TO EFFECTIVE ARTERIAL TRAFFIC MONITORING: LESSONS FROM THE I-95 CORRIDOR COALITION S VEHICLE PROBE PROJECT ABSTRACT

CHALLENGES TO EFFECTIVE ARTERIAL TRAFFIC MONITORING: LESSONS FROM THE I-95 CORRIDOR COALITION S VEHICLE PROBE PROJECT ABSTRACT CHALLENGES TO EFFECTIVE ARTERIAL TRAFFIC MONITORING: LESSONS FROM THE I-95 CORRIDOR COALITION S VEHICLE PROBE PROJECT Stanley E. Young. P.E., Ph.D. Research Engineer, University of Maryland 2200 Technology

More information

Chapter 3 - GPS Data Collection Description and Validation

Chapter 3 - GPS Data Collection Description and Validation Chapter 3 - GPS Data Collection Description and Validation The first step toward the analysis of accuracy and reliability of AVI system was to identify a suitable benchmark for measuring AVI system performance.

More information

USE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS

USE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS USE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS David P. Racca Center for Applied Demography and Survey Research (CADSR) University of Delaware Graham Hall, Rm 284, Newark, Delaware 19716

More information

Cronbach s α as a Performance Measure to Assess Link-level Reliability (TRB Paper 15-5369)

Cronbach s α as a Performance Measure to Assess Link-level Reliability (TRB Paper 15-5369) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 Cronbach s α as a Performance Measure to Assess Link-level Reliability (TRB Paper 15-5369) Ravi

More information

Integrating the I-95 Vehicle Probe Project Data and Analysis Tools into the FAMPO Planning Program

Integrating the I-95 Vehicle Probe Project Data and Analysis Tools into the FAMPO Planning Program Integrating the I-95 Vehicle Probe Project Data and Analysis Tools into the FAMPO Planning Program I-95 Corridor Coalition Background The I-95 Corridor Coalition is an alliance of transportation agencies,

More information

Statewide Traffic Flow Data: Probe Vehicle Study for Iowa DOT

Statewide Traffic Flow Data: Probe Vehicle Study for Iowa DOT Statewide Traffic Flow Data: Probe Vehicle Study for Iowa DOT Erik Minge, PE SRF Consulting Group, Inc. May 25, 2011 Types of Mobile Probe Data Cellular Telephone-Based Methods! Angle of arrival (E911)!

More information

PRIORITIZATION PROCESSES

PRIORITIZATION PROCESSES PROJECT SELECTION & PRIORITIZATION PROCESSES STIP Workshop Presented by: Bill Lawrence April 2011 Purpose and Review Overview of Project Selection Process Review Various Prioritization Processes Tk Take

More information

TRAVEL TIME BASED OKLAHOMA CONGESTION ANALYSIS: Pilot Study

TRAVEL TIME BASED OKLAHOMA CONGESTION ANALYSIS: Pilot Study Technical Memorandum TRAVEL TIME BASED OKLAHOMA CONGESTION ANALYSIS: Pilot Study Prepared for: Oklahoma Department of Transportation Prepared by: November 2014 Technical Memorandum The Technical Memos

More information

Presented by: Dr. Senanu Ashiabor, Intermodal Logistics Consulting Inc. at 2015 North Carolina MPO Conference April 30, 2015

Presented by: Dr. Senanu Ashiabor, Intermodal Logistics Consulting Inc. at 2015 North Carolina MPO Conference April 30, 2015 Presented by: Dr. Senanu Ashiabor, Intermodal Logistics Consulting Inc. at 2015 North Carolina MPO Conference April 30, 2015 What is Big Data? Big data is a broad term for large datasets that are so large

More information

MEMORANDUM. Stanley E. Young University of Maryland, Center for Advanced Transportation Technology seyoung@umd.edu 301-792-8180

MEMORANDUM. Stanley E. Young University of Maryland, Center for Advanced Transportation Technology seyoung@umd.edu 301-792-8180 MEMORANDUM To: From: Vehicle Probe Project Arterial Data Quality Committee Stanley E. Young University of Maryland, Center for Advanced Transportation Technology seyoung@umd.edu 301-792-8180 Date: Subject:

More information

Field Experiments with Bluetooth Sensors

Field Experiments with Bluetooth Sensors Field Experiments with Bluetooth Sensors Yinhai Wang, Yegor Malinovskiy, Yao-Jan Wu and Un-Kun Lee STAR Lab University of Washington Ted Bailey and Matt Neely WSDOT 1 Presentation Outline Concept Bluetooth

More information

A Case for Real-Time Monitoring of Vehicular Operations at Signalized Intersections

A Case for Real-Time Monitoring of Vehicular Operations at Signalized Intersections White Paper A Case for Real-Time Monitoring of Vehicular Operations at Signalized Intersections 10 1 0 1 0 TRAFINFO.COM TrafInfo Communications, Inc. 556 Lowell Street Lexington, MA 02420 www.trafinfo.com

More information

The Economic Cost of Traffic Congestion in Florida. Final Document Contract FDOT BDK75 977-19 (UF # 00072256)

The Economic Cost of Traffic Congestion in Florida. Final Document Contract FDOT BDK75 977-19 (UF # 00072256) August 2010 The Economic Cost of Traffic Congestion in Florida Final Document Contract FDOT BDK75 977-19 (UF # 00072256) Prepared for: Florida Department of Transportation Project Manager J. Darryll Dockstader

More information

Incorporating Reliability Performance Measures in Operations and Planning Modeling Tools Application Guidelines

Incorporating Reliability Performance Measures in Operations and Planning Modeling Tools Application Guidelines SHRP 2 Reliability Project L04 Incorporating Reliability Performance Measures in Operations and Planning Modeling Tools PREPUBLICATION DRAFT NOT EDITED 2014 National Academy of Sciences. All rights reserved.

More information

GPS TRUCK DATA PERFORMANCE MEASURES PROGRAM IN WASHINGTON STATE

GPS TRUCK DATA PERFORMANCE MEASURES PROGRAM IN WASHINGTON STATE Draft Research Report Agreement T4118, Task 31 Truck Performance Measure Research Project GPS TRUCK DATA PERFORMANCE MEASURES PROGRAM IN WASHINGTON STATE by Edward McCormack and Wenjuan Zhao University

More information

Study and Calculation of Travel Time Reliability Measures

Study and Calculation of Travel Time Reliability Measures Center for Applied Demography & Survey Research University of Delaware Study and Calculation of Travel Time Reliability Measures by David P. Racca Daniel T. Brown Prepared for the Delaware Department of

More information

Alternatives to the Circ Project Prioritization Methodology Prepared for Circ Task Force July 28, 2011

Alternatives to the Circ Project Prioritization Methodology Prepared for Circ Task Force July 28, 2011 Alternatives to the Circ Project Prioritization Methodology Prepared for Circ Task Force July 28, 2011 CCRPC staff has developed a draft methodology described below and detailed in the attached pages for

More information

Performance Measure Summary - Albuquerque NM. Performance Measures and Definition of Terms

Performance Measure Summary - Albuquerque NM. Performance Measures and Definition of Terms Performance Measure Summary - Albuquerque NM There are several inventory and performance measures listed in the pages of this Urban Area Report for the years from 1982 to 2014. There is no single performance

More information

Performance Measure Summary - St. Louis MO-IL. Performance Measures and Definition of Terms

Performance Measure Summary - St. Louis MO-IL. Performance Measures and Definition of Terms Performance Measure Summary - St. Louis MO-IL There are several inventory and performance measures listed in the pages of this Urban Area Report for the years from 1982 to 2014. There is no single performance

More information

SHRP 2 Reliability Project L38C. Pilot Testing of SHRP 2 Reliability Data and Analytical Products: Florida

SHRP 2 Reliability Project L38C. Pilot Testing of SHRP 2 Reliability Data and Analytical Products: Florida SHRP 2 Reliability Project L38C Pilot Testing of SHRP 2 Reliability Data and Analytical Products: Florida SHRP 2 Reliability Project L38C Pilot Testing of SHRP 2 Reliability Data and Analytical Products:

More information

Performance Measure Summary - Tampa-St. Petersburg FL. Performance Measures and Definition of Terms

Performance Measure Summary - Tampa-St. Petersburg FL. Performance Measures and Definition of Terms Performance Measure Summary - Tampa-St. Petersburg FL There are several inventory and performance measures listed in the pages of this Urban Area Report for the years from 1982 to 2014. There is no single

More information

Hypothethical Invoice for March 2009 Total Amount Invoiced: $ 100,000.00. Overall Q (P x * Q * Invoice) Category

Hypothethical Invoice for March 2009 Total Amount Invoiced: $ 100,000.00. Overall Q (P x * Q * Invoice) Category Modification M009 defines a method to link payment of invoices for data supplied by INRIX Inc. to the objective measure of quality resulting from the validation efforts supported by the I-95 Corridor Coalition

More information

TIME-VARIANT TRAVEL TIME DISTRIBUTIONS AND RELIABILITY METRICS AND THEIR UTILITY IN RELIABILITY ASSESSMENTS

TIME-VARIANT TRAVEL TIME DISTRIBUTIONS AND RELIABILITY METRICS AND THEIR UTILITY IN RELIABILITY ASSESSMENTS TIME-VARIANT TRAVEL TIME DISTRIBUTIONS AND RELIABILITY METRICS AND THEIR UTILITY IN RELIABILITY ASSESSMENTS Patricio Alvarez, Universidad del Bío Bío, palvarez@ubiobio.cl Mohammed Hadi, Florida International

More information

Word Count: Body Text = 5,500 + 2,000 (4 Figures, 4 Tables) = 7,500 words

Word Count: Body Text = 5,500 + 2,000 (4 Figures, 4 Tables) = 7,500 words PRIORITIZING ACCESS MANAGEMENT IMPLEMENTATION By: Grant G. Schultz, Ph.D., P.E., PTOE Assistant Professor Department of Civil & Environmental Engineering Brigham Young University 368 Clyde Building Provo,

More information

Public Sector Solutions

Public Sector Solutions Public Sector Solutions The New Jersey DOT Command Center uses INRIX real-time data and analytics to monitor congestion and deploy resources proactively to manage traffic flow and inform travelers. INRIX

More information

CAPACITY AND LEVEL-OF-SERVICE CONCEPTS

CAPACITY AND LEVEL-OF-SERVICE CONCEPTS CHAPTER 2 CAPACITY AND LEVEL-OF-SERVICE CONCEPTS CONTENTS I. INTRODUCTION...2-1 II. CAPACITY...2-2 III. DEMAND...2-2 IV. QUALITY AND LEVELS OF SERVICE...2-2 Service Flow Rates...2-3 Performance Measures...2-3

More information

Subject: Presentation - TTC/Transportation Services Joint Surface Transit Initiatives

Subject: Presentation - TTC/Transportation Services Joint Surface Transit Initiatives INFORMATION Subject: Presentation - TTC/Transportation Services Joint Surface Transit Initiatives Date: May 27, 2015 Stephen Buckley, General Manager, Transportation Services has been invited by the Chair

More information

Monitoring Program Results and Next Steps

Monitoring Program Results and Next Steps 8 Monitoring Program Results and Next Steps The improving economy and greater levels of employment observed in 2014 have generally resulted in higher demands on the transportation network. This is apparent

More information

STATISTICAL PATTERNS OF TRAFFIC DATA AND SAMPLE SIZE ESTIMATION

STATISTICAL PATTERNS OF TRAFFIC DATA AND SAMPLE SIZE ESTIMATION STATISTICAL PATTERNS OF TRAFFIC DATA AND SAMPLE SIZE ESTIMATION Nezamuddin Graduate Research Assistant E-mail address: nezam@umd.edu Phone: (301) 403-4589 Joshua L. Crunkleton Graduate Research Assistant

More information

Comprehensive Mobility Project Development Process Capital Metro ¼-Cent Fund Analysis

Comprehensive Mobility Project Development Process Capital Metro ¼-Cent Fund Analysis Comprehensive Mobility Project Development Process Capital Metro ¼-Cent Fund Analysis Transportation & Mobility projects that meet the following criteria: enhances regional mobility; supports public transit;

More information

Estimating Winter Weather Road Restoration Time using Outsourced Traffic Data: Three Case Studies in Maryland

Estimating Winter Weather Road Restoration Time using Outsourced Traffic Data: Three Case Studies in Maryland Estimating Winter Weather Road Restoration Time using Outsourced Traffic Data: Three Case Studies in Maryland August 2014, NRITS Branson, MO Elham Sharifi Stanley E. Young Thomas H. Jacobs Steven M. Rochon

More information

DATA QUALITY VISUALIZATION TOOLS ON ARCHIVED HISTORICAL FREEWAY TRAFFIC DATA

DATA QUALITY VISUALIZATION TOOLS ON ARCHIVED HISTORICAL FREEWAY TRAFFIC DATA DATA QUALITY VISUALIZATION TOOLS ON ARCHIVED HISTORICAL FREEWAY TRAFFIC DATA Jothan P. Samuelson, Maricopa Association of Governments TRB NATMEC Conference June 6, 2012 2012, All Rights Reserved 1 Project

More information

Delaware Department of Transportation Transportation Management Program

Delaware Department of Transportation Transportation Management Program Delaware Department of Transportation Transportation Management Program Delmarva Freight & Goods Movement Task Force Meeting December 4, 2013 Overview ITMS Background Relationship to Freight and Goods

More information

Intersection Cost Comparison Spreadsheet User Manual ROUNDABOUT GUIDANCE VIRGINIA DEPARTMENT OF TRANSPORTATION

Intersection Cost Comparison Spreadsheet User Manual ROUNDABOUT GUIDANCE VIRGINIA DEPARTMENT OF TRANSPORTATION Intersection Cost Comparison Spreadsheet User Manual ROUNDABOUT GUIDANCE VIRGINIA DEPARTMENT OF TRANSPORTATION Version 2.5 i Virginia Department of Transportation Intersection Cost Comparison Spreadsheet

More information

Methodologies to Measure and Quantify Transportation Management Center Benefits: Final Synthesis Report

Methodologies to Measure and Quantify Transportation Management Center Benefits: Final Synthesis Report Methodologies to Measure and Quantify Transportation Management Center Benefits: Final Synthesis Report Publication No. FHWA-HRT-12-054 december 2012 Research, Development, and Technology Turner-Fairbank

More information

TECHNIQUES FOR MANUALLY ESTIMATING ROAD USER COSTS ASSOCIATED WITH CONSTRUCTION PROJECTS

TECHNIQUES FOR MANUALLY ESTIMATING ROAD USER COSTS ASSOCIATED WITH CONSTRUCTION PROJECTS TECHNIQUES FOR MANUALLY ESTIMATING ROAD USER COSTS ASSOCIATED WITH CONSTRUCTION PROJECTS by Ginger Daniels, P.E. Associate Research Engineer Texas Transportation Institute David R. Ellis, Ph.D. Associate

More information

ELMHURST SPEEDWAY A STUDY OF LAWBREAKING IN ELMHURST

ELMHURST SPEEDWAY A STUDY OF LAWBREAKING IN ELMHURST ELMHURST SPEEDWAY A STUDY OF LAWBREAKING IN ELMHURST INTRODUCTION TWENTY-THIRD AVENUE IS AN EAST-WEST FOUR-LANE ARTERIAL ROAD running through East Elmhurst, Queens. With two lanes of traffic in either

More information

Transit Pass-Through Lanes at Freeway Interchanges: A Life-Cycle Evaluation Methodology

Transit Pass-Through Lanes at Freeway Interchanges: A Life-Cycle Evaluation Methodology Transit Pass-Through Lanes at Freeway Interchanges: A Life-Cycle Evaluation Methodology Michael Mandelzys and Bruce Hellinga University of Waterloo Abstract Transit pass-through lanes provide transit vehicle

More information

Private Sector Data for Performance Management Final Report

Private Sector Data for Performance Management Final Report Private Sector Data for Performance Management Final Report July 2011 QUALITY ASSURANCE STATEMENT The U.S. Department of Transportation provides high-quality information to serve Government, industry,

More information

Performance Measures for RIDOT s Traffic Management Center

Performance Measures for RIDOT s Traffic Management Center Performance Measures for RIDOT s Traffic Management Center Catherine Burns, EIT Transportation Engineer Sudhir Murthy, PE, PTOE President 5/2011 Presentation Outline RIDOT Performance Measures Public Outreach

More information

TRANSPORTATION IMPACT ANALYSIS (TIA) Guidelines

TRANSPORTATION IMPACT ANALYSIS (TIA) Guidelines TRANSPORTATION IMPACT ANALYSIS (TIA) Guidelines Methodology For Development Applications Requiring a TIA in Volusia County, Florida TIA Guidelines As adopted on November 24, 2009 (The Volusia Transportation

More information

Incident Management Assistance Patrols: Assessment of Investment Benefits and Costs

Incident Management Assistance Patrols: Assessment of Investment Benefits and Costs Carolina Transportation Program Final Report Incident Management Assistance Patrols: Assessment of Investment Benefits and Costs Prepared By Asad J. Khattak, Ph.D., PI Associate Professor of Transportation

More information

BlipTrack. Case Studies. ANPR vs. Bluetooth. This case describes how data from ANPR cameras match corresponding Bluetooth sensor data.

BlipTrack. Case Studies. ANPR vs. Bluetooth. This case describes how data from ANPR cameras match corresponding Bluetooth sensor data. ANPR vs. Bluetooth This case describes how data from ANPR cameras match corresponding Bluetooth sensor data. The map shows an arterial road in the city of Aalborg with a total of 4 lanes, 2 in each direction.

More information

USING ARCHIVED DATA TO GENERATE TRANSIT PERFORMANCE MEASURES

USING ARCHIVED DATA TO GENERATE TRANSIT PERFORMANCE MEASURES USING ARCHIVED DATA TO GENERATE TRANSIT PERFORMANCE MEASURES Robert L. Bertini, Assistant Professor Department of Civil & Environmental Engineering Portland State University P.O. Box 751 Portland, OR 97207-0751

More information

USE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS. David P. Racca

USE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS. David P. Racca USE OF STATE FLEET VEHICLE GPS DATA FOR TRAVEL TIME ANALYSIS David P. Racca Center for Applied Demography and Survey Research (CADSR) University of Delaware Graham Hall, Rm 284, Newark, Delaware 19716

More information

7.0 Transportation Management

7.0 Transportation Management 7.0 Transportation Management I. Introduction The Kansas City region has invested considerable effort and resources in the design and implementation of its regional multimodal transportation system. As

More information

School-related traffic congestion is a problem in

School-related traffic congestion is a problem in SCHOOL TRANSPORTATION Automated Vehicle Location for School Buses Can the Benefits Influence Choice of Mode for School Trips? TORI D. RHOULAC The author is Assistant Professor, Department of Civil Engineering,

More information

Using GIS to Identify Pedestrian- Vehicle Crash Hot Spots and Unsafe Bus Stops

Using GIS to Identify Pedestrian- Vehicle Crash Hot Spots and Unsafe Bus Stops Using GIS to Identify Pedestrian-Vehicle Crash Hot Spots and Unsafe Bus Stops Using GIS to Identify Pedestrian- Vehicle Crash Hot Spots and Unsafe Bus Stops Long Tien Truong and Sekhar V. C. Somenahalli

More information

Traffic Signal Priority (TSP) and Automatic Vehicle Tracking System (AVTS) For Calgary Transit Buses

Traffic Signal Priority (TSP) and Automatic Vehicle Tracking System (AVTS) For Calgary Transit Buses Traffic Signal Priority (TSP) and Automatic Vehicle Tracking System (AVTS) For Calgary Transit Buses (Project #2001-06) Calgary Transit Transit Planning 2004 July Introduction The purpose of this report

More information

Relation of Speed and Speed Limits to Crashes

Relation of Speed and Speed Limits to Crashes Relation of Speed and Speed Limits to Crashes National Forum on Speeding Washington, D.C., June 15, 2005 Susan Ferguson, Ph.D. Overview Relation of speeds to crashes Relation of speed to crash severity

More information

PRIORITY SCHEDULING OF URBAN REHABILITATION STREETS TO MINIMIZE CONGESTION, DELAYS, AND ACCIDENTS

PRIORITY SCHEDULING OF URBAN REHABILITATION STREETS TO MINIMIZE CONGESTION, DELAYS, AND ACCIDENTS PRIORITY SCHEDULING OF URBAN REHABILITATION STREETS TO MINIMIZE CONGESTION, DELAYS, AND ACCIDENTS ABSTRACT Wesley C. Zech 1, and Satish Mohan 2 This paper describes the framework of a priority scheduling

More information

DRAFT Freight Performance Measures

DRAFT Freight Performance Measures DRAFT Freight Performance Measures The purpose of the Industrial Areas Freight Access Project is to conduct a focused and pragmatic technical evaluation to identify and assess current and future freight

More information

REAL-TIME & HISTORICAL FEATURES OF THE BLUEARGUS SOFTWARE SUITE

REAL-TIME & HISTORICAL FEATURES OF THE BLUEARGUS SOFTWARE SUITE REAL-TIME & HISTORICAL FEATURES OF THE BLUEARGUS SOFTWARE SUITE DATA DRIVEN Optimized for travel-time data and dashboardbased visualization, BlueARGUS is the most comprehensive database manipulation software

More information

GPS-Based Highway Performance Monitoring:

GPS-Based Highway Performance Monitoring: GPS-Based Highway Performance Monitoring: Characterization of Travel Speeds on any Roadway Segment Alain L. Kornhauser Professor, Operations Research & Financial Engineering Director, Program in Transportation

More information

ROUTE OVERVIEW. Comprehensive Route Evaluation ROUTE 3 WARWICK AVE

ROUTE OVERVIEW. Comprehensive Route Evaluation ROUTE 3 WARWICK AVE Comprehensive Route Evaluation ROUTE 3 WARWICK AVE ROUTE OVERVIEW Route 3 operates between Warwick and downtown Providence, primarily via Warwick Avenue. Other principal arterials include Oakland Beach

More information

USING INTELLIGENT TRANSPORTATION SYSTEMS DATA ARCHIVES FOR TRAFFIC SIMULATION APPLICATIONS

USING INTELLIGENT TRANSPORTATION SYSTEMS DATA ARCHIVES FOR TRAFFIC SIMULATION APPLICATIONS USING INTELLIGENT TRANSPORTATION SYSTEMS DATA ARCHIVES FOR TRAFFIC SIMULATION APPLICATIONS Patricio Alvarez, Universidad del Bío Bío, palvarez@ubiobio.cl Mohammed Hadi, Florida International University,

More information

Using Big Data and Efficient Methods to Capture Stochasticity for Calibration of Macroscopic Traffic Simulation Models

Using Big Data and Efficient Methods to Capture Stochasticity for Calibration of Macroscopic Traffic Simulation Models CIVIL AND ENVIRONMENTAL ENGINEERING Using Big Data and Efficient Methods to Capture Stochasticity for Calibration of Macroscopic Traffic Simulation Models Sandeep Mudigonda 1, Kaan Ozbay 2 1 Department

More information

HERS_IN. HIGHWAY ECONOMIC REQUIREMENTS SYSTEM (for) INDIANA. AASHTO Transportation Estimator Association Conference October 16, 2001

HERS_IN. HIGHWAY ECONOMIC REQUIREMENTS SYSTEM (for) INDIANA. AASHTO Transportation Estimator Association Conference October 16, 2001 AASHTO Transportation Estimator Association Conference October 16, 2001 HERS_IN HIGHWAY ECONOMIC REQUIREMENTS SYSTEM (for) INDIANA OVERVIEW HERS Background System Planning Tool Development HERS_IN Structure

More information

Jan 2012. Developed by the AZTech Strategy Task Force. ArARTERIALS FREEWAYS ARTERIALS SAFETY INCIDENT MANAGEMENT TRAVELER INFORMATION TRANSIT

Jan 2012. Developed by the AZTech Strategy Task Force. ArARTERIALS FREEWAYS ARTERIALS SAFETY INCIDENT MANAGEMENT TRAVELER INFORMATION TRANSIT AZTech TRAFFIC MANAGEMENT PERFORMANCE MEASURES Phoenix Metropolitan Region ArARTERIALS FREEWAYS ARTERIALS SAFETY INCIDENT MANAGEMENT TRAVELER INFORMATION TRANSIT Jan 2012 Developed by the AZTech Strategy

More information

Performance-Based Planning and Programming

Performance-Based Planning and Programming Performance-Based Planning and Programming Matthew Hardy, Ph.D. Program Direction for Planning and Policy AASHTO September 17, 2013 2013 WVDOT/MPO/FHWA PLANNING CONFERENCE 1 Overview MAP-21 Requirements

More information

Performance and Limitations of Cellular-Based Traffic Monitoring Systems. Cellint Traffic Solutions

Performance and Limitations of Cellular-Based Traffic Monitoring Systems. Cellint Traffic Solutions www.cellint.com Performance and Limitations of Cellular-Based Traffic Monitoring Systems Cellint Traffic Solutions 1 Leading provider of cellular-based traffic data collection solutions 2 Introduction

More information

ITS Devices Used to Collect Truck Data for Performance Benchmarks

ITS Devices Used to Collect Truck Data for Performance Benchmarks ITS Devices Used to Collect Truck Data for Performance Benchmarks Edward McCormack and Mark E. Hallenbeck This paper documents the development of data collection methodologies that can be used to measure

More information

Assessment of Sidewalk / Bicycle-Lane Gaps with Pedestrian Safety

Assessment of Sidewalk / Bicycle-Lane Gaps with Pedestrian Safety Assessment of Sidewalk / Bicycle-Lane Gaps with Pedestrian Safety Hatem Abou-Senna, PhD., P.E. (Co-PI) Essam Radwan, PhD., P.E., F. ASCE (PI) Ayman Mohamed, PhD., P.E., PTOE UNIVERSITY OF CENTRAL FLORIDA

More information

Traffic Monitoring Guide May 1, 2001. Vehicle Classification Monitoring

Traffic Monitoring Guide May 1, 2001. Vehicle Classification Monitoring Vehicle Classification Monitoring SECTION 4 CONTENTS Section Page CHAPTER 1 INTRODUCTION...4-1 Variability...4-1 Data Collection to Account for Truck Movements...4-2 Integration of Classification Counting

More information

Near Westside Neighborhood and University Avenue Corridor Transportation Study. Public Workshop #2. September 12 and 23, 2013

Near Westside Neighborhood and University Avenue Corridor Transportation Study. Public Workshop #2. September 12 and 23, 2013 Near Westside Neighborhood and University Avenue Corridor Transportation Study Public Workshop #2 September 12 and 23, 2013 Presentation Outline: Brief Review of Study Scope, Background, and Current Conditions

More information

Using National Performance Management Research Data Set (NPMRDS) to Generate Statewide Performance Measures

Using National Performance Management Research Data Set (NPMRDS) to Generate Statewide Performance Measures Using National Performance Management Research Data Set (NPMRDS) to Generate Statewide Performance Measures Chen-Fu Liao Minnesota Traffic Observatory (MTO) Department of Civil Engineering CTS Research

More information

Traffic Monitoring Guide May 1, 2001. Traffic Volume Monitoring

Traffic Monitoring Guide May 1, 2001. Traffic Volume Monitoring Traffic Volume Monitoring SECTION 3 CONTENTS Section Page CHAPTER 1 INTRODUCTION...3-1 Traffic Volume Data Collection...3-1 Objectives of the Traffic Volume Monitoring Program...3-2 Organization of This

More information

2013 QUALITY/ LEVEL OF SERVICE HANDBOOK

2013 QUALITY/ LEVEL OF SERVICE HANDBOOK 2013 QUALITY/ LEVEL OF SERVICE HANDBOOK STATE OF FLORIDA DEPARTMENT OF TRANSPORTATION 2013 TABLE OF CONTENTS 1 Executive Summary... 1 2 Q/LOS Handbook Purpose and Scope... 3 2.1. Levels of Analysis...4

More information

AZTech TRAFFIC MANAGEMENT AND OPERATIONS PERFORMANCE INDICATORS BOOK 2013

AZTech TRAFFIC MANAGEMENT AND OPERATIONS PERFORMANCE INDICATORS BOOK 2013 AZTech TRAFFIC MANAGEMENT AND OPERATIONS PERFORMANCE INDICATORS BOOK 2013 Phoenix Metropolitan Region ArARTERIALS FREEWAYS ARTERIALS SAFETY INCIDENT MANAGEMENT TRAVELER INFORMATION TRANSIT Developed by

More information

Benefit-Cost Analysis

Benefit-Cost Analysis Benefit-Cost Analysis Executive Summary This document presents the approach used for conducting the benefit-cost analysis (BCA) for the Interstate 555 (I-555) project between Interstate 55 (I-55) in Crittenden

More information

Congestion Management Systems: A Federal Perspective. Brian Betlyon FHWA Resource Center

Congestion Management Systems: A Federal Perspective. Brian Betlyon FHWA Resource Center Congestion Management Systems: A Federal Perspective Brian Betlyon FHWA Resource Center brian.betlyon@fhwa.dot.gov 7 Key CMS Components 1. Area of Application 2. System Definition (modes & network) 4.

More information

1500 Hamilton Avenue Primrose Daycare Center Project

1500 Hamilton Avenue Primrose Daycare Center Project 15 Hamilton Avenue Primrose Daycare Center Project Traffic Impact Analysis Prepared for: Denise Duffy & Associates, Inc. January 16, 215 Hexagon Transportation Consultants, Inc. Hexagon Office: 111 W.

More information

Los Angeles Metro Rapid

Los Angeles Metro Rapid Los Angeles Metro Rapid Why BRT In Los Angeles Public dissatisfied with slow bus service Average bus speeds had declined by 10% since late- 1980s LADOT found that 50% of the time a bus is in service it

More information

Identifying and Prototyping Integrated Corridor Management (ICM) Strategies for Application in Virginia

Identifying and Prototyping Integrated Corridor Management (ICM) Strategies for Application in Virginia Identifying and Prototyping Integrated Corridor Management (ICM) Strategies for Application in Virginia http://www.virginiadot.org/vtrc/main/online_reports/pdf/14-r10.pdf SAMPSON K. ASARE Graduate Research

More information

1 2 3 4 5 6 90 180 360 600 900 W kg M stop start P M 1. 2. M 3. P 4. M M 1. 2. P 3. P 4. M M 1. 2. P 3. P 4. M 250 250 250 1. P 2. 3. P pm h M1 M2 min sec kg M 1. 2. 3. M M 1. 2. 3. M M M 1. 2. M 90

More information

Traffic Management System Performance Using Regression Analysis

Traffic Management System Performance Using Regression Analysis CALIFORNIA PATH PROGRAM INSTITUTE OF TRANSPORTATION STUDIES UNIVERSITY OF CALIFORNIA, BERKELEY Traffic Management System Performance Using Regression Analysis David Levinson, Wei Chen University of Minnesota

More information

Adaptive controlled traffic lights - a progress report from Uppsala. Sampo Hinnemo 140429

Adaptive controlled traffic lights - a progress report from Uppsala. Sampo Hinnemo 140429 Adaptive controlled traffic lights - a progress report from Uppsala Sampo Hinnemo 140429 Table of contents Background Business intelligence Initial system setup (the pilot project) Results so far Expansion

More information

MEMORANDUM. Robert Nichols, Acting Corridor Design Manager Northgate Link Extension

MEMORANDUM. Robert Nichols, Acting Corridor Design Manager Northgate Link Extension MEMORANDUM DATE: September 23, 2014 TO: Robert Nichols, Acting Corridor Design Manager Northgate Link Extension FROM: SUBJECT: COPIES: Katherine Casseday, PE, PTOE, Casseday Consulting Tony Lo, PE, Parsons

More information

Traffic Information in NYC

Traffic Information in NYC Traffic Information in NYC What We Know, What We Need to Know Prepared for Transportation Alternatives January 23, 2007 Schaller Consulting 94 Windsor Place, Brooklyn, NY (718) 768-3487 schaller@schallerconsult.com

More information

AlienVault. Unified Security Management (USM) 5.x Policy Management Fundamentals

AlienVault. Unified Security Management (USM) 5.x Policy Management Fundamentals AlienVault Unified Security Management (USM) 5.x Policy Management Fundamentals USM 5.x Policy Management Fundamentals Copyright 2015 AlienVault, Inc. All rights reserved. The AlienVault Logo, AlienVault,

More information

Practical Approach to Deriving Peak-Hour Estimates from 24-Hour Travel Demand Models

Practical Approach to Deriving Peak-Hour Estimates from 24-Hour Travel Demand Models Practical Approach to Deriving Peak-Hour Estimates from 24-Hour Travel Demand Models CHARLES C. CREVO AND UDAY VIRKUD 1 The Clean Air Act Amendments of 1990 have created a need for accurate and reliable

More information

Analysis Techniques: Flood Analysis Tutorial with Daily Data (Log-Perason Type III Distribution)

Analysis Techniques: Flood Analysis Tutorial with Daily Data (Log-Perason Type III Distribution) Analysis Techniques: Flood Analysis Tutorial with Daily Data (Log-Perason Type III Distribution) Information to get started: The lesson below contains step-by-step instructions and "snapshots" of what

More information

Highway Maintenance Scheduling Using Genetic Algorithm with Microscopic Traffic Simulation

Highway Maintenance Scheduling Using Genetic Algorithm with Microscopic Traffic Simulation Wang, Cheu and Fwa 1 Word Count: 6955 Highway Maintenance Scheduling Using Genetic Algorithm with Microscopic Traffic Simulation Ying Wang Research Scholar Department of Civil Engineering National University

More information

Congestion Management Systems: A Federal Perspective. 7 Key CMS Components

Congestion Management Systems: A Federal Perspective. 7 Key CMS Components Congestion Management Systems: A Federal Perspective Brian Betlyon FHWA Resource Center brian.betlyon@fhwa.dot.gov 7 Key CMS Components 1. Area of Application 2. System Definition (modes & network) 4.

More information

Linking Planning and Operations Initiative A Data Driven Approach. Chris Francis Transportation Statistics

Linking Planning and Operations Initiative A Data Driven Approach. Chris Francis Transportation Statistics Linking Planning and Operations Initiative A Data Driven Approach Chris Francis Transportation Statistics Data Symposium - Traffic Data, Orlando, FL, Oct 23-24, 2014 Outline 2 Emerging Transportation Scene

More information

Municipal Transportation Quality Review

Municipal Transportation Quality Review Municipal Transportation Quality Review SFMTA Response June 2015 San Francisco, California Overview The Agency s response to recommended modifications in the Transportation Quality Review An update on

More information

NCHRP Report 765 Overview. Rob Bostrom August 15, 2014 ARC Model Users Group

NCHRP Report 765 Overview. Rob Bostrom August 15, 2014 ARC Model Users Group NCHRP Report 765 Overview Rob Bostrom August 15, 2014 ARC Model Users Group Presentation Overview NCHRP Report 765 Overview Focus on ARC Case Study Spreadsheets Sketch Planning Techniques NCHRP REPORT

More information

Research Note: Determinants of Bus Dwell Time. Kenneth J. Dueker Thomas J. Kimpel James G. Strathman

Research Note: Determinants of Bus Dwell Time. Kenneth J. Dueker Thomas J. Kimpel James G. Strathman Research Note: Determinants of Bus Dwell Time Kenneth J. Dueker Thomas J. Kimpel James G. Strathman Center for Urban Studies College of Urban and Public Affairs Portland State University Portland, OR 97207

More information

Traffic Archive Data Management System

Traffic Archive Data Management System Centre of Excellence in Urban Transport IIT Madras Traffic Archive Data Management System A Study on the Feasibility of Implementation and Operation in Indian Urban Areas D Sharan Gitakrishnan Ramadurai

More information

ELECTRONIC TOLL AND TRAFFIC MANAGEMENT

ELECTRONIC TOLL AND TRAFFIC MANAGEMENT ELECTRONIC TOLL AND TRAFFIC MANAGEMENT PROJECT Research No. Z-01-02 Task 31a Wireless, Solar Powered Tag Reader Final Report Prepared for: New York State Department of Transportation Prepared by: Rensselaer

More information

Introduction: This lesson provides students with an opportunity to identify and apply mean, median, mode, and range.

Introduction: This lesson provides students with an opportunity to identify and apply mean, median, mode, and range. Mean, Median, Mode, and Range Energy Education Introduction: This lesson provides students with an opportunity to identify and apply mean, median, mode, and range. Objectives: Develop a strategic approach

More information

CHAPTER 3 AVI TRAVEL TIME DATA COLLECTION

CHAPTER 3 AVI TRAVEL TIME DATA COLLECTION CHAPTER 3 AVI TRAVEL TIME DATA COLLECTION 3.1 - Introduction Travel time information is becoming more important for applications ranging from congestion measurement to real-time travel information. Several

More information

Doppler Traffic Flow Sensor For Traveler Information Systems. October, 2007 1

Doppler Traffic Flow Sensor For Traveler Information Systems. October, 2007 1 Doppler Traffic Flow Sensor For Traveler Information Systems October, 2007 1 Traffic congestion costs $70B a year Road construction can t keep up with demand Congestion spreading to smaller cities Many

More information

TRANSCAD MODELING AT NCTCOG: WHAT WE NOW HAVE. For UT-Austin/NCTCOG Meeting January 28, 2004

TRANSCAD MODELING AT NCTCOG: WHAT WE NOW HAVE. For UT-Austin/NCTCOG Meeting January 28, 2004 TRANSCAD MODELING AT NCTCOG: WHAT WE NOW HAVE For UT-Austin/NCTCOG Meeting January 28, 2004 AGENDA Background Modeling Environment Trip Generation And Distribution Transit Skims Mode Choice Transit And

More information

TERMINAL 91 TRAFFIC MONITORING STUDY

TERMINAL 91 TRAFFIC MONITORING STUDY REVISED DRAFT TERMINAL 9 TRAFFIC MONITORING STUDY Prepared for: Port of Seattle Prepared by: 6544 NE 6st Street, Seattle, WA 985 ph: (26) 523-3939 fx: (26) 523-4949 NOVEMBER 22, 2 TABLE OF CONTENTS. INTRODUCTION...

More information

Protected Bicycle Lanes in NYC

Protected Bicycle Lanes in NYC Protected Bicycle Lanes in NYC New York City Department of Transportation Polly Trottenberg, Commissioner September 2014 NEW YORK CITY DEPARTMENT OF TRANSPORTATION 1 Overview Since 2007, the New York City

More information

University of California Transportation Center UCTC-FR-2010-11. Real-World Carbon Dioxide Impacts of Traffic Congestion

University of California Transportation Center UCTC-FR-2010-11. Real-World Carbon Dioxide Impacts of Traffic Congestion University of California Transportation Center UCTC-FR-21-11 Real-World Carbon Dioxide Impacts of Traffic Congestion Matthew Barth and Kanok Boriboonsomsin University of California, Riverside May 21 Real-World

More information